AI for Security Auditors: Redefining Trust, Evidence, and Assurance in the Age of Intelligent Systems - Softcover

Inhaltsangabe

Auditing is broken.

Static checklists can’t keep up with dynamic systems. Evidence no longer lives in documents—it lives in data, behavior, and patterns. And AI is changing not just how audits are performed, but how assurance itself is defined.

AI for Security Auditors is not a guide. It’s a shift in thinking.

Written from the perspective of a seasoned cybersecurity auditor and enterprise architect, this book cuts through theory to reveal how modern audits actually fail—and how they must evolve.

Inside, you’ll discover how to:

• Move from evidence collection to evidence intelligence
• Design AI-assisted control validation systems
• Detect false assurance and hidden audit risks
• Build continuous, real-time audit frameworks
• Create maturity models that reflect operational truth
• Balance AI insights with human accountability and trust

This is for auditors who know the old way no longer works—and want to lead what comes next.

If you’re in cybersecurity, GRC, risk, or compliance, this book will change how you think about assurance.

Not incremental improvement.
A complete reset.

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